Product Data Analyst
U.S. Anywhere
Lyft
Rideshare with Lyft. Lyft is your friend with a car, whenever you need one. Download the app and get a ride from a friendly driver within minutes.At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
The Driver Growth Analytics team’s mission is to continuously identify, build, and optimize sustainable growth levers while creating the best experience for our drivers. This role will be focused on building and maintaining core products and tools that enable Lyft to grow faster by leveraging marketing communications and the Outreach Innovation team.
Our team is heavily cross-functional, and our work is embedded within a pod including Product, Engineering, Marketing, Operations and Data Science. The team takes a strong data-driven approach to identify the highest potential opportunities to unlock additional growth that is fundamental to Lyft’s success. The broad scope of the team enables us to be nimble and focus on the highest priority problem areas.
As a key team member on the Product Analytics team, you’ll own various work streams, analyses, modeling, strategy, and business metrics that drive the growth of the Lyft ecosystem at scale. You’ll be a strong leader of cross-functional teams by synthesizing input and perspectives from various key stakeholders. We are looking for analytical talent to provide insights and actionable recommendations that will drive impact and produce quality business decisions.
Responsibilities:
- Develop frameworks and deliver analyses to guide decision-making and prioritization across functions
- Uncover new areas of opportunity to grow Lyft’s driver population
- Manage, build, and automate models and reporting to provide regional and national teams with actionable insights on volume, efficiency, and driver experience
- Utilize data and analyses to influence business strategy and product roadmaps
- Regularly partner with Product, Engineering, Operations, Marketing, and Data Science
- Present findings, recommendations, and results to senior leadership and cross-functional stakeholders
Experience & Skills:
- 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
- Proficiency in SQL - Ability to independently break down large datasets and synthesize inputs from multiple sources
- Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
- Ability to use data visualization tools to provide actionable insights and reusable frameworks
- Strong product and user experience sense
- Proven ability to influence, negotiate, and inspire others in a fast-moving environment
- Excellent organization, planning skills, and attention to detail
- Balance between intellectual curiosity and the desire to roll up your sleeves and execute
Benefits:
- Great medical, dental, and vision insurance options
- Mental health benefits
- Family building benefits
- In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
- 401(k) plan to help save for your future
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Pre-tax commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Until further notice, Lyft employees working in the United States and Canada in any capacity (on a daily or hybrid schedule, remote, or as a visitor) are required to provide proof that they are fully vaccinated and up to date against COVID-19. Fully vaccinated and up to date means an employee has: 1) received all recommended doses in a primary series of COVID-19 vaccine; and 2) either has received a booster dose or is not yet eligible to receive a booster dose but will do so when eligible. Lyft will maintain records associated with your vaccination history in a way that is compliant with all relevant Federal, state and local laws. Exceptions to this requirement are employees who require religious or medical exemption as approved through Lyft's accommodations process. New employees must provide proof of full vaccination or receive an accommodation exception approval prior to their start date.
This role is work-from-anywhere, excluding the following states and territory: Alabama, Arkansas, Delaware, Iowa, Kansas, Maine, Mississippi, Nebraska, New Hampshire, North Dakota, Oklahoma, South Dakota, West Virginia, Wyoming, Puerto Rico
For candidates living in Colorado the expected base pay range is $99,050-$116,150 and depending on a variety of non-discriminatory factors, including qualifications, experience and geographic location.
Tags: Consulting Data visualization Engineering SQL
Perks/benefits: Career development Health care Insurance Medical leave Parental leave Startup environment Unlimited paid time off
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs